搜索资源列表
Wavelet+regression+estimation
- Deubechies小波核下的杂波估计效果以及残留噪声的高斯性和独立性检验实验结果演示程序。
pitch_estimation
- this folder contains matlab programs which implements different pitch estimation algorithms of speech.
Noise_Estimation
- Speech Signal Noise Estimation
autocorrelation
- pitch estimation written in matlab
lpctrack.m
- 采用线性预测的方法来实现语音信号的共振峰估计。-Speech formant estimation by LPC Method
noisetracking
- 包含M文件，培训和跟踪落实的噪音中描述的算法： [1] J.S.厄克伦斯和R. Heusdens，“非平稳噪声跟踪基于数据驱动的递归噪声功率的估计”，IEEE期刊。音频，语音卷。 16，第6页。1112年至1123年，2008年8月。 见Descr iption.doc在zip文件。-Contains m-files to train and implement the noise tracking algorithm described in:
Noise_Tracking
- 根据” J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation”所开发的源码-noisetracker based on data-driven recursive noise power estimation
delayDetect
- Delay Estimation, find the location that makes the crosscorelation maximum
pesq
- 语音客观质量评价标准PESQ ITU-P.862相关方法-the audio quality estimation PESQ
g3
- frequency estimation- f0,f1,f2,f3,f4
Speech-signal-short-time-analysis
- 语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等-Short-time speech signal analysis, mainly including: sub-frame, short-time energy, short-term average, short-time zero-crossing rate, short-time auto-correlation function, short-t
noise_estimate
- 非平稳噪声估计，适用于实时噪声估计，可以用在语音增强算法中。-Non-stationary noise estimation
Fast-Block-Matching
- 为提高基于块的运动预测的搜索精度,该文基于块匹配准则,提出最小绝对差分误差和(SADD)算法。SADD 以 SAD 为基础,利 用块匹配中相邻像素点误差之间相关性,将块内各像素误差按一定顺序进行差分,消除了相邻点误差之间的冗余。该算法更精确地表达了 块与快之间的相似程度。实验结果表明,该算法可有效降低码率,提高 PSNR 值,而且其鲁棒性好,可适用于各种序列。 -n order to improve the search accuracy performance of motion
omlsa.m.tar
- 基于IMCRA单通道噪声估计,基于Omlsa(optimally-modified log-spectral amplitude)语音增强-Isreal Cohen- omlsa : Single Channel OM-LSA with IMCRA noise estimator. Noise psd estimation & Speech enhencement
aec-master
- webrtc 的回声抵消(aec、aecm)算法主要包括以下几个重要模块：1.回声时延估计 2.NLMS(归一化最小均方自适应算法) 3.NLP（非线性滤波） 4.CNG(舒适噪声产生），一般经典aec算法还应包括双端检测(DT)。考虑到webrtc使用的NLMS、NLP和CNG都属于经典算法范畴，故只做简略介绍，本文重点介绍webrtc的回声时延估计算法,这也是webrtc回声抵消算法区别一般算法(如视频会议中的算法)比较有特色的地方。-webrtc echo canceller (aec,
rir
- 改程序的功能：基于IMAGE混响模型编写的混响估计程序，条件实在矩形的房子中进行的-Change program features: based on IMAGE reverberation model reverberation estimation program written, just rectangular house
MAR1PSD
- 由AR模型参数得到功率谱。AR，MA和ARMA是功率谱估计中最主要的参数模型。AR模型的正则方程是一组线性方程。-The AR model parameters obtained power spectrum. AR, MA and ARMA power spectrum estimation is the most important parameter model. Canonical equations AR model is a set of linear equations.
WMARMACH
- 用Cholesky分解求ARMA模型的参数并作谱估计.分两步，具体可参见《数字信号处理-理论、算法与实现》-Cholesky decomposition ask using ARMA model parameters and spectral estimation in two steps for more details, see. " Digital Signal Processing- Theory, Algorithm and Implementation"
MPERPSD
- 用Welch平均法对信号 作功率谱估计.welch法又称之为加权交叠平均法。是一种经典的功率谱估计方法。-By Welch method to estimate the power spectrum signal .welch method is also known as the weighted average method overlap. It is a classic power spectrum estimation method.
zerocross
- Fundamental frequency estimation using zero crossing.